Marketing Analytics with Meta

This course is a part of Meta Marketing Analytics, a 5-course Specialization series from Coursera.

This course explores Meta Marketing Analytics Tools. You’ll learn how the advertising platform works and you’ll learn to create ads using Meta Ads Manager. Then, you’ll learn how Meta reports results and how you can customize the reports to match your business goals. You’ll also learn how you can use Meta experiments to evaluate the effectiveness of your advertising campaign. You’ll learn to optimize ads with A/B testing and you will explore how you can integrate data from Meta campaigns in marketing mix modeling. In this course, you’ll also find a summary of Meta’s recommended approach to data analysis. By the end of this course you will be able to: • Describe how an ad is created and delivered in Meta Ads Manager • Evaluate campaign results • Conduct an A/B Test • Evaluate advertising effectiveness with Conversion Lift Tests • Evaluate advertising effectiveness with Brand Lift tests • Choose the best approach to evaluating advertising effectiveness given a scenario • Explain how and when to apply Marketing Mix Modeling • Choose the best approach to optimizing your marketing mix given a scenario • Implement a full analysis process from the formulation of a hypothesis to recommending measurement solutions, performing an analysis, generating insights and presenting results and recommendations This course is for people who want to learn how to use Meta Ads Manager to conduct advertising effectiveness tests and evaluate their campaign results. Learners don't need marketing or data analysis experience, but should have basic internet navigation skills and be eager to participate. Ideally, learners have already completed course 1 (Marketing Analytics Foundation), course 2 (Introduction to Data Analytics), course 3 (Statistics for Marketing), and course 4 (Data Analytics Methods for Marketing) in this program.